Demystifying the Lifecycle of Failures in Platform-Orchestrated Agentic Workflows

Researchers present AgentFail, a dataset of 307 real-world failure cases from agentic workflow platforms, analyzing how multi-agent AI systems fail and can be repaired. The study reveals that failures in these low-code orchestrated AI workflows propagate differently than traditional software, making them harder to diagnose and fix.